From: | "Joshua D(dot) Drake" <jd(at)commandprompt(dot)com> |
---|---|
To: | volunteer(at)spatiallink(dot)org |
Cc: | pgsql-general(at)postgresql(dot)org, Bill <postgresql(at)dbginc(dot)com> |
Subject: | Re: Scalability |
Date: | 2006-10-29 16:02:39 |
Message-ID: | 4544D09F.2010004@commandprompt.com |
Views: | Raw Message | Whole Thread | Download mbox | Resend email |
Thread: | |
Lists: | pgsql-general |
volunteer(at)spatiallink(dot)org wrote:
> Top at 350-400 concurrent connections! Although more than my project's
> peak estimates, it is a bit discomforting. Are there any *promising*
> load testing numbers with Windows 2003? I'd be happy to share results
> from my simulations.
Well keep in mind this is a Windows limitation not a PostgreSQL one. I
am sure those who are better than I at tuning Windows will be able to
hack the registry to get it to go farther.
However.... Windows has never been nor will it likely ever be as
scalable as the unix variants.
Joshua D. Drake
>
> Matt
>
>> -------- Original Message --------
>> Subject: Re: [GENERAL] Scalability
>> From: "Joshua D. Drake" <jd(at)commandprompt(dot)com>
>> Date: Sat, October 28, 2006 8:38 pm
>> To: Bill <postgresql(at)dbginc(dot)com>
>> Cc: pgsql-general(at)postgresql(dot)org
>>
>> Bill wrote:
>>> I am new to PostgreSQL and just beginning to learn the product. I will
>>> probrobably be using it exclusively on Windows.
>>>
>>> I was surprised to learn that PostgreSQL creates a new process for each
>>> connection. Doesn't this severely limit its scalability by consuming
>>> resources rapidly on the server as the number of user increases?
>> The Windows version is not anywhere near as scalable as the unix
>> versions. Depending on your hardware you will top out a Windows
>> installation about about 350-400 connections. You can get more out of
>> Windows by modifying the registry but I am unsure of how far it will go.
>>
>> I have Linux installations that happily hum along with 2000-5000
>> connections.
>>
>> So in answer to your question, in general -- no the process methodology
>> we use does not limit scalability and it makes our code base much
>> simpler that the equivalent threading model.
>>
>> Sincerely,
>>
>> Joshua D. Drake
>
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